Artificial Intelligence and Sentiment Analysis in YouTube Comments: A Comprehensive Overview
Karnam Meghana · 2024
The rapidly evolving landscape of sentiment analysis applied to Y ouTube comments presents a dynamic and challenging domain. Analyzing these comments encompasses the daunting task of handling vast volumes of diverse content on a dynamic platform. Recent advancements, such as deep learning models and advanced natural language processing techniques, have significantly enhanced sentiment analysis accuracy. Nevertheless, persistent challenges involve effectively addressing multilingual comments, context awareness, and capturing nuanced sentiment expression. Here, the primary research objective is to establish a comprehensive overview of state-of-the-art techniques and methodologies. Critically assessing existing challenges in data preprocessing, model development, and result interpretation provides valuable insights for future research endeavors. This effort aims to guide the development of more robust solutions for sentiment analysis within the intricate context of Y ouTube comments.